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The home page of a free online class in distributed systems.

k8s 作为云原生时代的操作系统，学习它的必要性不言而喻!

This tutorial provides a walkthrough of the basics of the Kubernetes cluster orchestration system.

本教程介绍 Kubernetes 集群编排系统的基础知识。每个模块包含关于 Kubernetes 主要特性和概念的一些背景信息，还包括一个在线教程供你学习。

Hands-On Kubernetes Tutorial | Learn Kubernetes in 1 Hour - Kubernetes Course for Beginners

Full Kubernetes Tutorial | Kubernetes Course | Hands-on course with a lot of demos

Get all the tutorials, learning paths, and more you need to start building—fast.

REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统，是跨平台的非关系型数据库。

In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.

In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.

这是一篇 MySQL 通关一篇过硬核经验学习路线，包括数据库相关知识，SQL语句的使用，数据库约束，设计等。

your go-to resource for mastering MySQL in a fast, easy, and enjoyable way.

MySQL SQL tutorial for beginners

This beginner-friendly course teaches you SQL from scratch.

This tutorial demonstrates running Apache Zookeeper on Kubernetes using StatefulSets, PodDisruptionBudgets, and PodAntiAffinity.

Apache ZooKeeper is a distributed coordination service which eases the development of distributed applications.

ZooKeeper is a distributed co-ordination service to manage large set of hosts.

Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.